Python Machine Learning

CHAPTER 11Using Azure Machine Learning Studio

What Is Microsoft Azure Machine Learning Studio?

Microsoft Azure Machine Learning Studio (henceforth referred to as MAML) is an online collaborative, drag‐and‐drop tool for building machine learning models. Instead of implementing machine learning algorithms in languages like Python or R, MAML encapsulates the most‐commonly used machine learning algorithms as modules, and it lets you build learning models visually using your dataset. This shields the beginning data science practitioners from the details of the algorithms, while at the same time offering the ability to fine‐tune the hyperparameters of the algorithm for advanced users. Once the learning model is tested and evaluated, you can publish your learning models as web services so that your custom apps or BI tools, such as Excel, can consume it. What's more, MAML supports embedding your Python or R scripts within your learning models, giving advanced users the opportunity to write custom machine learning algorithms.

In this chapter, you will take a break from all of the coding that you have been doing in the previous few chapters. Instead of implementing machine learning using Python and Scikit‐learn, you will take a look at how to use the MAML to perform machine learning visually using drag‐and‐drop.

An Example Using the Titanic Experiment

Now that you have a good sense of what machine learning is and what it can do, let's get started with an experiment using MAML. For this ...